Software Engineer
- Hiring from
- United States
- Work type
- Remote
- Posted
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At Quest Analytics®, we build technology that helps health plans navigate some of the most complex challenges in healthcare. We’re searching for a Software Engineer to help us build and scale our platform.
You’ll own the features you build, from first requirements conversation through deployment, working alongside product managers, designers, architects, and DevOps engineers. Your input on design and architecture will carry real weight, and the decisions you help make will shape our current offerings, and new product lines as we grow.
Our engineering teams value high-quality code, open collaboration, and creative problem solving. We review each other’s work with constructive feedback, communicate early about blockers and risks, and take ownership of our results. We also embrace new technology, including AI-powered tools, to improve both the quality and the speed of what we deliver, and you’ll have a hand in shaping how our teams use them.
What you'll do
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Take part in the full development lifecycle, from requirements gathering and design through implementation, testing, and deployment.
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Partner with product managers, designers, architects, and DevOps engineers to turn requirements into working software.
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Own your project timelines and deliverables, flag blockers and risks early so your team can help.
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Contribute to the design and architecture of new and existing products and features.
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Write clean, efficient, maintainable code built for performance and scalability.
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Give constructive feedback in code reviews and hold your work to team coding standards.
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Use AI-powered tools in your daily work to improve the quality and speed of development and help shape how the team adopts them.
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Make day-to-day technical decisions within established patterns, and bring larger choices, like major frameworks or design patterns, to your manager.
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Handle confidential information with care, especially protected health information (PHI), and follow Quest Analytics HIPAA Privacy and Security Practices.
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Join training and mentoring programs, as a learner or as a guide.
What you'll need
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A bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field, or equivalent work experience.
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Three to five years of backend development with Microsoft’s .NET Framework and C# at a commercial SaaS company, ideally working with large data sets.
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Proficiency in SQL Server and in designing, building, and consuming REST APIs.
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Snowflake, Databricks, or general data platform experience for large data processing.
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Experience building on Azure cloud services, including Azure Functions, Event Grid, and Service Bus, plus familiarity with Blob Storage or AWS Lambda, EventBridge, SNS, or SQS.
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Experience with React or a comparable modern JavaScript framework for front-end work.
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Familiarity with unit testing (XUnit preferred) and SOLID principles.
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Source control experience with Git.
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Strong written and verbal communication, and a collaborative, team-oriented approach to your work.
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Experience multiplying your output with AI development tools.
After you apply, you will receive an email confirming receipt of your application. If your background and experience align with our needs, a member of the Quest Analytics Talent Acquisition team will contact you regarding next steps in the process. Candidates will receive communication throughout the interview process regarding their status and progression.
Interview Process
The interview process may vary by role but typically includes:
- Recruiter Video Interview
- Video Interview with the Hiring Manager
- Team and/or Panel Interview(s)
- Role-Specific Assessment, Presentation, or Case Study (if applicable)
- Professional Reference Checks via Skill Survey
- Final Interview with Executive Leadership
Video Camera Usage Policy
Quest Analytics is a remote-first organization that values collaboration, communication, and engagement. To support a connected and productive work environment, candidates are expected to participate in all virtual interviews with their cameras enabled.
Video participation helps create a more interactive interview experience, allows for stronger communication and relationship-building, and supports our commitment to maintaining a secure hiring process. Camera usage also serves as an important safeguard against fraudulent applicants, identity misrepresentation, unauthorized participation, and other security risks that have become increasingly common in remote hiring environments.
Candidates who are unable or unwilling to participate on camera during the interview process may not be considered for employment.
Relocation Requirement
While many positions at Quest Analytics are remote, employees are expected to reside in and perform work from the location disclosed during the hiring process. Any relocation must be communicated to and approved by Quest Analytics in advance.
This policy helps ensure compliance with employment and tax regulations, protects company and client data, and reduces risks associated with unauthorized work arrangements and employment misrepresentation.
RECRUITMENT FRAUD ALERT
We understand that some individuals have recently been impersonating recruiters from Quest Analytics® and soliciting fake job opportunities. We urge you not to disclose any personal or financial information to them. We use only our official website (https://questanalytics.com), email domain (@questanalytics.com), and verified social media accounts to communicate with candidates. If you suspect fraudulent behavior, please report it to us at infosec@questanalytics.com. We appreciate your interest in working with us.
To learn more: https://questanalytics.com/news/recruitment-fraud-alert/
